Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
The Principal Research Scientist for AI Safety will lead Faculty's research team, focusing on large language models and safety-critical AI systems. Responsibilities include setting the research agenda, conducting and overseeing cutting-edge research, publishing findings, and mentoring a growing team of researchers. The role also involves collaborating on high-risk evaluations and positioning Faculty as a thought leader in AI safety.
As a Software Engineer at Faculty AI, you will work on the Frontier Decision Intelligence platform, focusing on building scalable, AI-focused solutions that empower organizations to make high-impact decisions. You will collaborate with cross-functional teams to design and implement core features, tackle complex real-world problems, and drive technical best practices.
This role involves leading the end-to-end design of AI-native, human-centred products for high-stakes defence applications. You'll conduct user research, develop accessible and intuitive interfaces, and evolve design systems in close collaboration with machine learning and engineering teams. The work focuses on delivering ethical, reliable AI solutions that support national security and global stability.
As a Quantitative Researcher, you will develop and test innovative signals, models, and trading strategies for global financial markets. You'll work closely with a small, high-performing team to design and implement research tools and data pipelines, applying rigorous statistical and computational methods.
This role involves integrating and managing real-time data feeds from multiple sources, including market data, grid operations, and internal trading systems. The focus is on enhancing data quality, performance, and availability to support systematic trading and risk management in a fast-paced, data-driven trading environment.
This role involves designing and implementing deep learning models to optimize ad matching for Amazon’s programmatic advertisement products. You will work with large datasets, develop new ML techniques, and collaborate with product and engineering teams to improve advertising campaign outcomes.
This role involves leading large-scale training of video foundation models for Wayve’s Gaia world model, which predicts future driving scenarios from video input. The engineer will drive architectural innovation, optimize training pipelines, and collaborate across research and engineering teams to enhance synthetic scenario generation for autonomous driving systems. Technical leadership and first-principles problem-solving are central to the role.
Train and improve computer vision and 3D perception models for ADAS systems, working across the full ML lifecycle from data to deployment. Build scalable data pipelines, including auto-labelling, to enhance model performance. Focus on real-world impact by iterating on perception capabilities like object detection, segmentation, and 3D reconstruction for driving scenarios.
This role involves owning the AI and Surge Inference enablement strategy for EMEA, developing and delivering targeted enablement programs, and building strategic relationships with field leadership and AI stakeholders. The candidate will translate evolving AI capabilities into practical, field-ready programs and serve as the voice of the field on AI enablement needs.
This role involves building and running functional and performance models of processor and accelerator microarchitectures using C++ and SystemC, directly influencing early-stage chip design decisions. You'll explore architectural trade-offs like cache sizing, memory bandwidth, and pipeline structure, translating findings into actionable guidance for hardware and software teams. The position sits at the intersection of hardware architecture, software systems, and ML inference, with close collaboration across RTL, verification, and physical design teams to shape silicon before RTL is written.
The Principal Software Engineer role involves collaborating with product managers and designers to define and implement AI-driven engineering applications. Responsibilities include leading the development of scalable, modular front-end architecture, ensuring interoperability with other platform services, and actively contributing to the growth and development of the engineering team.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world’s leading logos,...
